According to one estimate, we create around 3.5 quintillion bytes of data each day. This is a massive amount of data that requires a plan to gather, store and use in order to gain a competitive edge.
The most effective enterprise data management software employs a structured method of organizing and managing information to increase access as well as usability and management. It helps companies reduce data silos and achieve the performance required to make sound decisions, reliable analysis and compliance with the industry’s regulations. Solutions evaluated by Solutions Review include cloud and on-premises data warehouses, data lakes and integration tools to connect different databases and big data systems.
A comprehensive business solution should support the development of data policies and processes within an organization. This means establishing a system of record that acts as a single point of reference for the database of the company’s structures as well as metadata-driven data dictionaries for data and lineage records. It will also aid teams in determining the most important data they require for their specific task.
By setting up a consistent management of information process it is possible for businesses to automate tasks which would otherwise require manual intervention. This reduces the workload of staff and error rates. However, it is crucial to consider employee concerns when deploying automation, particularly with tools that can impact their workflow.
The best enterprise data-management software is one with a solid architectural design that can handle large data sets while providing fast query response times. It should also be able to integrate with existing systems and scale as the needs for data grow. This requires a highly-scalable storage solution that can support multiple indexes while also being able to manage complex queries with no impact on performance.